The present disclosure relates to a method and apparatus for phase unwrapping of an SAR interferogram based on an SAR offset tracking surface displacement model, in which the apparatus according to the present disclosure includes a Synthetic Aperture Radar (SAR) image acquisition unit that acquires two SAR images of a same object acquired at different times, a single look complex (SLC) image production unit that produces two SLC images corresponding to each of the two SAR images, an interferogram production unit that generates an SAR interferogram using SAR interferometry for the two SLC images, a surface displacement model production unit that produces an offset tracking surface displacement model using SAR offset tracking method for the two SLC images, an unwrapped residual interferogram generation unit that generates a residual interferogram by subtracting the SAR interferogram and the offset tracking surface displacement model, and generates an unwrapped residual interferogram by unwrapping the generated residual interferogram, and an unwrapped interferogram generation unit that generates an unwrapped SAR interferogram by adding the unwrapped residual interferogram to the offset tracking surface displacement model.

A system includes a tracking system, a controller-circuit, and a device. The tracking system is configured to detect and track an object, and includes one or more of a computer vision system, a radar system, and a LIDAR system. The controller-circuit is disposed in a host vehicle, and is configured to receive detection signals from the tracking system, process the detection signals, determine, whether an object is detected based on the processed detecting signals, and in accordance with a determination that an object is detected, output command signals. The device is adapted to be mounted to the host vehicle, and is configured to receive the command signals and thereby provide a dynamic visual indication adapted to change in accordance with orientation changes between the host vehicle and the object. The dynamic visual indication is viewable from outside of the host vehicle.

A system includes a tracking system, a controller-circuit, and a device. The tracking system is configured to detect and track an object, and includes one or more of a computer vision system, a radar system, and a LIDAR system. The controller-circuit is disposed in a host vehicle, and is configured to receive detection signals from the tracking system, process the detection signals, determine, whether an object is detected based on the processed detecting signals, and in accordance with a determination that an object is detected, output command signals. The device is adapted to be mounted to the host vehicle, and is configured to receive the command signals and thereby provide a dynamic visual indication adapted to change in accordance with orientation changes between the host vehicle and the object. The dynamic visual indication is viewable from outside of the host vehicle.

A tracking device is configured to estimate a track for at least one possible target and is configured to receive incoming measurements and to process measurements and tracks. The tracking device includes a storage and a computational device. The tracking device is also configured to divide all measurements into a set of considered measurements and a set of unconsidered measurements for each passive track.

A vehicle radar system (3) which, for each one of a plurality of radar cycles, is arranged to, provide a measured azimuth angle (θ.sub.m) and radial velocity (v.sub.dm) for a first plurality of detections (9, 20). For each one of the plurality of radar cycles, the radar system (3) is arranged to select one of these detections for each one of two velocity components (v.sub.x, v.sub.y) in a set of components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a) to be determined; select one detection from a second plurality of detections (9, 20) for each one of at least one corresponding acceleration component (a.sub.x, a.sub.y; a); calculate the components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a) for the selected detections; determine a calculated radial velocity (v.sub.dc) for each one of at least a part of the other detections in the first plurality of detections (9, 20) using the calculated components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a); determine an error between each calculated and measured radial velocity (v.sub.dc, v.sub.dm); and determine the number of inliers. The set of components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a) that results in the largest number of inliers is then chosen.

A vehicle radar system (3) which, for each one of a plurality of radar cycles, is arranged to, provide a measured azimuth angle (θ.sub.m) and radial velocity (v.sub.dm) for a first plurality of detections (9, 20). For each one of the plurality of radar cycles, the radar system (3) is arranged to select one of these detections for each one of two velocity components (v.sub.x, v.sub.y) in a set of components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a) to be determined; select one detection from a second plurality of detections (9, 20) for each one of at least one corresponding acceleration component (a.sub.x, a.sub.y; a); calculate the components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a) for the selected detections; determine a calculated radial velocity (v.sub.dc) for each one of at least a part of the other detections in the first plurality of detections (9, 20) using the calculated components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a); determine an error between each calculated and measured radial velocity (v.sub.dc, v.sub.dm); and determine the number of inliers. The set of components (v.sub.x, v.sub.y, a.sub.x, a.sub.y; a) that results in the largest number of inliers is then chosen.

In an embodiment, a method includes: obtaining one or more radar measurement frames, each one of the one or more radar measurement frames including respective data samples acquired by a radar sensor monitoring a scene; for each one of the one or more radar measurement frames, determining a respective 2-D angular intensity map of the scene based on the respective radar measurement frame; and performing a people counting operation based on the one or more 2-D angular intensity maps determined for the one or more radar measurement frames to determine a people count for the scene.

The present disclosure provides a body-part tracking device and a body-part tracking method. The body-part tracking device includes a first electronic component and a first antenna element. The first antenna element is electrically connected to the first electronic component and configured to receive a first wave. The first electronic component is configured to, in response to the first wave, transmit a second wave.

The invention relates to a method of tracking a target on an orbital trajectory by a spacecraft, the method comprising an acquisition phase which comprises the steps of activating a lidar, acquiring signals from the lidar system, determining target trajectory data from the lidar signals, wherein the spacecraft is engaged on a trajectory to approach or inspect the target, which trajectory is determined based on the target trajectory data, and if the target is no longer detected, activating a short-range detection phase, comprising activation of a wide-field radar.

A radar signal processing device includes processing circuitry configured to repeatedly acquire a beat signal having a frequency of a difference between a frequency of a radar signal and a frequency of a reflected wave of the radar signal reflected by an observation target, repeatedly calculate a distance between a radar device and the observation target using the acquired beat signal, and repeatedly calculate a relative speed between the radar device and the observation target using the acquired beat signal; calculate an incident angle of the reflected wave to an array antenna by using the acquired beat signal and an arrangement interval between a plurality of reception antennas included in the array antenna; and determine whether the observation target is a detection target or a non-detection target due to electromagnetic noise based on the calculated incident angle, the plurality of distances and the plurality of relative speeds.